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首页> 外文期刊>Journal of Hydroinformatics >Flood-inundation modeling in an operational context: sensitivity to topographic resolution and Manning's n
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Flood-inundation modeling in an operational context: sensitivity to topographic resolution and Manning's n

机译：运营背景下的洪水淹没建模：对地形分辨率和曼宁的敏感性

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摘要

Streamflow forecasts from operational hydrologic models can be converted into forecasts of flood-inundation extent using either physically based hydraulic models or simpler terrain-based approaches. Two factors that influence simulated flood-inundation extent are spatial resolution of topographic data and in-channel and overland-flow roughness characterized by the Manning'snparameter. Here, AutoRoute, a raster-based flood-inundation model, was used to simulate two recent flood events in Florida (a forested floodplain) and Texas (an urban floodplain) using two different topographic resolutions and a range of Manning'snvalues. The AutoRoute-simulated flood-inundation extents were evaluated using observed extents from remotely sensed imagery. For comparison, the same flood events were also simulated using a one-dimensional Hydrologic Engineering Center River Analysis System (HEC-RAS) model. Results indicated that model performance was much improved with higher topographic resolution for the forested floodplain site and that the urban site was more sensitive to Manning'sn. For the three different rivers analyzed, the fit for HEC-RAS was 5-10% higher than that for AutoRoute. Despite being only slightly less accurate than HEC-RAS in its simulation of flood extent, AutoRoute was much simpler to set up and required less computational time to run.
机译：可以使用物理基于液压模型或基于更简单的地形方法转换为洪水淹没程度的预测的流出预报。影响模拟洪水淹没程度的两个因素是地形数据的空间分辨率和渠道的渠道，其特征在于Manning'SnParameter。这里，基于光栅的洪水淹没模型的自动化是用来模拟佛罗里达州（森林洪泛区）和德克萨斯州洪水事件的两项洪水事件，并使用两种不同的地形决议以及一系列曼宁的攀登。使用从远程感测图像的观测范围评估自动挖掘模拟的洪水淹没范围。为了比较，还使用一维水文工程中心河分析系统（HEC-RAS）模型来模拟相同的洪水事件。结果表明，森林泛滥平局的地形分辨率高大提高了模型性能，城市网站对Manning'sn更敏感。对于分析的三个不同的河流，HEC-RAS的适合度高于Autoroute的5-10％。尽管在模拟泛洪方面只能略低于HEC-RA，但Autoroute更简单地设置并要求运行的计算时间更少。

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  • 来源
    《Journal of Hydroinformatics》 |2020年第6期|1338-1350|共13页
  • 作者

    Praskievicz Sarah; Carter Shawn; Dhondia Juzer; Follum Michael;

  • 作者单位

    Univ North Carolina Greensboro Dept Geog Environm & Sustainabil 237 Graham Bldg 1009 Spring Garden St Greensboro NC 27412 USA;

    NOAA Natl Weather Serv Off Water Predict Water Predict Operat Div 205 Hackberry Lane Tuscaloosa AL 35401 USA;

    NOAA Univ Corp Atmospher Res Natl Water Ctr Off Water Predict 205 Hackberry Ln Tuscaloosa AL 35401 USA;

    US Army Corps Engineers Coastal & Hydraul Lab Engineer Res & Dev Ctr 3909 Halls Ferry Rd Vicksburg MS 39180 USA|Bur Reclamat Wyoming Area Off Water & Civil Works Branch Mills WY 82644 USA;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AutoRoute; emergency response; flooding; HEC-RAS; inundation modeling; Landsat;

    机译：autoroute;紧急响应;洪水;hec-ras;淹没建模;landsat;

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